Content Gazette - July 2012 - 18

CALL FOR PAPERS
IEEE Signal Processing Society
Two Special Issues
IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING
IEEE SIGNAL PROCESSING MAGAZINE
Special Issues on Adaptation and Learning over Complex Networks
Aims and Scope
Complex networks are prevalent in modern science, including the study of biological networks, power grids, macro-economies, and inference
over graphs. In many complex systems, especially those encountered in nature, it is common for emergent behavior to arise from the
interaction among individual agents, as happens with fish schooling or bird flight formations. While each individual agent in these biological
networks is not capable of complex behavior, it is the combined coordination among multiple agents that leads to the manifestation of
sophisticated behavior at the network level. Research efforts to decipher the intricacies of such complex networks have been progressing
almost independently across several disciplines, including signal processing, machine learning, optimization, control, statistics, physics, biology,
economics, computer science, and the social sciences. In all these fields, there is growing interest in performing inference and learning over
graphs, such as deducing relationships from interconnections over social networks, modeling interactions among agents in biological networks,
performing resource allocation distributively, passing information among distributed agents, optimizing utility functions over graphs, etc.
Commonalities, and significant signal processing, run across these applications, and there are ample opportunities for cross-disciplinary
research. In the realm of signal processing, these applications motivate the need to study and develop decentralized strategies for information
processing that are able to endow networks with real-time adaptation and learning abilities. This call for papers therefore encourages
submissions from a broad range of experts that study fundamental questions related to the problems of inference, adaptation, and learning
over complex cognitive networks. Cognitive networks consist of spatially distributed agents that are linked together through a connection
topology. The topology may vary with time and the agents may also move. The agents cooperate with each other through local interactions and
by means of in-network processing. Such networks are well-suited to perform decentralized information processing, optimization, and
inference tasks, and to model self-organized and complex behavior encountered in nature and in social and economic networks.
Topics of Interest include (but are not limited to):
* Adaptation and learning over networks.
* Bio-inspired processing; cooperative processing.
* Estimation, filtering, detection, and inference over networks.
* Distributed machine learning; online learning.
* Distributed optimization; stochastic approximation.
* Game-theoretic strategies.
* Message-passing strategies; consensus strategies; diffusion strategies.
* Mobile adaptive networks; learning over graphs with dynamic or random topologies.
* Multi-agent coordination and processing over networks; multi-agent formations.
* Signal processing for biological, economic, and social networks.
Submission Process
Articles submitted to either issue must contain significant relevance to the science of distributed signal and information processing over
graphs. All submissions will be peer reviewed according to the IEEE and Signal Processing Society guidelines for both publications. Submitted
articles should not have been published or under review elsewhere. Manuscripts should be submitted online at
http://mc.manuscriptcentral.com/sps-ieee using the Manuscript Central interface. Submissions to the special issue in the IEEE JOURNAL OF
SELECTED TOPICS IN SIGNAL PROCESSING should be original.
Prospective authors should consult the site
http://www.signalprocessingsociety.org/publications/periodicals/jstsp/ for guidelines and information on paper submission. Submissions to
the special issue in the IEEE SIGNAL PROCESSING MAGAZINE should have significant tutorial value. Prospective authors should consult the site
http://www.signalprocessingsociety.org/publications/periodicals/spm/ for guidelines and information on paper submission.
Important Dates for each Journal: Expected publication date for both special issues is May 2013.
Time Schedule
White paper due
Invitation notification
Manuscript submission due
Acceptance notification
Revised manuscript due
Final acceptance notification
Final material from authors
Signal Processing Magazine
June 1, 2012
June 15, 2012
August 15, 2012
September 30, 2012
October 30, 2012
November 15, 2012
December 15, 2012 (strict)
Time Schedule
IEEE J. Sel. Top. Signal Proc.
Manuscript submission due
First review completed
Revised manuscript due
Second review completed
Final material from authors
August 15, 2012
October 30, 2012
November 30, 2012
January 15,2013
February 8, 2013 (strict)
Guest Editors
Ali H. Sayed, Lead Guest Editor, University of California, Los Angeles, sayed@ee.ucla.edu
Sergio Barbarossa, University of Rome La Sapienza, Italy, sergio@infocom.uniroma1.it
Sergios Theodoridis, University of Athens, Greece, stheodor@di.uoa.gr
Isao Yamada, Tokyo Institute of Technology, Japan, isao@sp.ss.titech.ac.jp
www.signalprocessingsociety.org
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JULY 2012